Non-Contact Non-Invasive Heart and Respiration Rates Monitoring with MIMO Radar Sensing

Qiwei Liu, Hanqing Guo, Junhong Xu, Honggang Wang, Aaron Kageza, Saeed AlQarni, Shaoen Wu

Abstract: Smart health calls for novel approaches to detect vital signs in non- contact, non-invasive and non-intrusive matters. In this work, we design a solution that monitors the rates of heartbeats and respiration simultaneously by using a Frequency Modulated Continuous Wave (FMCW) radar with multiple antennas. This solution measures the reflections from heartbeats and respiration at a high frequency of 4 K H z to capture fine dynamics of motions with big data. It employs multiple antennas and superposition to reduce the interference noises from unwanted motions in the background and any detection defects. The heart and respiration rates are detected in the frequency domains after a chain of preprocessing techniques on the sensed big data. With extensive experiments in a lab office, this system demonstrates high accuracies in various cases: 98% in the still case, 95% with finger motions and 96% with body motions. The tests also confirm that multiple antennas and signal superposition improve the detection accuracy and reliability.